Paper Citation Record · LEDGER

A Unified End-to-End Framework for Efficient Deep Image Compression

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2002.03370.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2002.03370 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:05:27.619207Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T22:06:15.677261Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b3217583-dee4-49a7-80bb-8a61b82e50d6 · inbound

S2CFormer: Revisiting the RD-Latency Trade-off in Transformer-based Learned Image Compression cites this paper.

S2CFormer: Revisiting the RD-Latency Trade-off in Transformer-based Learned Image Compression A Unified End-to-End Framework for Efficient Deep Image Compression

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T18:05:27.619207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfb38bb2-efea-4a0c-bc40-6f8b47d9b2d8 · inbound

Conditional Latent Coding with Learnable Synthesized Reference for Deep Image Compression cites this paper.

Conditional Latent Coding with Learnable Synthesized Reference for Deep Image Compression A Unified End-to-End Framework for Efficient Deep Image Compression

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T19:57:51.225122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c09a1267-42e5-4e85-ae39-faf372219acd · inbound

Perception-Oriented Latent Coding for High-Performance Compressed Domain Semantic Inference cites this paper.

Perception-Oriented Latent Coding for High-Performance Compressed Domain Semantic Inference A Unified End-to-End Framework for Efficient Deep Image Compression

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T20:53:49.143613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 049dae2f-0deb-4f14-bb98-7333d830c535 · inbound

Next-Frame Decoding for Ultra-Low-Bitrate Image Compression with Video Diffusion Priors cites this paper.

Next-Frame Decoding for Ultra-Low-Bitrate Image Compression with Video Diffusion Priors A Unified End-to-End Framework for Efficient Deep Image Compression

Reference 99

Resolution: unresolved; no resolver link, observed 2026-07-14T20:40:40.055063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19739d4b-730d-4b56-a207-6e548c551df4 · inbound

A Noise Constrained Diffusion (NC-Diffusion) Framework for High Fidelity Image Compression cites this paper.

A Noise Constrained Diffusion (NC-Diffusion) Framework for High Fidelity Image Compression A Unified End-to-End Framework for Efficient Deep Image Compression

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:20:54.408495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 618224cf-8ba6-46c8-811b-97c31fa3f13c · inbound

Exploiting Semantic and Pixel Representations for Ultra-Low Bitrate Image Compression cites this paper.

Exploiting Semantic and Pixel Representations for Ultra-Low Bitrate Image Compression A Unified End-to-End Framework for Efficient Deep Image Compression

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:06:15.680878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.